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From verbal route descriptions to sketch maps in natural environments

Published: 31 October 2016 Publication History

Abstract

The representation of human knowledge extracted from navigations in natural environments is still a research challenge for spatial cognition and computer science. When acting in natural environments people often use verbal route descriptions or sketch maps to transmit their knowledge of the environment, and some of the actions performed. The research developed in this paper introduces a modeling and computational approach using verbal descriptions of human navigating in a natural environment. The objective is to extract the semantic and spatial knowledge emerging from the verbal route descriptions. A formal and semantic model is introduced with a series of rules that merge different route descriptions. The semantic network constructed presents a global view of the route descriptions, and is used to generate a map representation from them. The whole approach is illustrated by a case study.

References

[1]
N. Asher and P. Sablayrolles. A typology and discourse semantics for motion verbs and spatial pps in french. Journal of semantics, 12(2):163--209, 1995.
[2]
M. Aurnague, M. Hickmann, and L. Vieu. The categorization of spatial entities in language and cognition, volume 20. John Benjamins, 2007.
[3]
J. A. Bateman. Upper modeling: Organizing knowledge for natural language processing. Defense Technical Information Center, 1990.
[4]
J. A. Bateman, J. Hois, R. Ross, and T. Tenbrink. A linguistic ontology of space for natural language processing. Artificial Intelligence, 174(14):1027--1071, 2010.
[5]
L. Belouaer, M. Bouzid, and A.-I. Mouaddib. Ontology based spatial planning for human-robot interaction. In TIME, pages 103--110, 2010.
[6]
L. Belouaer, D. Brosset, and C. Claramunt. Modeling spatial knowledge from verbal descriptions. In Spatial Information Theory, pages 338--357. Springer, 2013.
[7]
C. Bessière, J.-C. Régin, R. H. Yap, and Y. Zhang. An optimal coarse-grained arc consistency algorithm. Artificial Intelligence, 165(2):165--185, 2005.
[8]
D. Brosset and C. Claramunt. An experimental ant colony approach for the geolocation of verbal route descriptions. Knowledge-Based Systems, 24(4):484--491, 2011.
[9]
D. Brosset, C. Claramunt, and E. Saux. A location and action-based model for route descriptions. In GeoSpatial Semantics, pages 146--159. Springer, 2007.
[10]
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multiobjective genetic algorithm: Nsga-ii. Evolutionary Computation, IEEE Transactions on, 6(2):182--197, 2002.
[11]
C. Derungs and R. S. Purves. From text to landscape: Locating, identifying and mapping the use of landscape features in a swiss alpine corpus. International Journal of Geographical Information Science, (ahead-of-print):1--22, 2013.
[12]
L. Fraczak. Generating "mental maps" from route. Representation and Processing of Spatial Expressions, page 174, 1998.
[13]
C. Freksa, R. Moratz, and T. Barkowsky. Schematic maps for robot navigation. Springer, 2000.
[14]
N. A. Giudice, J. Z. Bakdash, and G. E. Legge. Wayfinding with words: spatial learning and navigation using dynamically updated verbal descriptions. Psychological research, 71(3):347--358, 2007.
[15]
R. G. Golledge. Human wayfinding and cognitive maps. Wayfinding behavior: Cognitive mapping and other spatial processes, pages 5--45, 1999.
[16]
M. Gupta and S. Modi. Identifying landmarks and relations in grounded route descriptions of iitk. 2013.
[17]
C. Habel, M. Kerzel, and K. Lohmann. Verbal assistance in tactile-map explorations: A case for visual representations and reasoning. In Visual Representations and Reasoning, 2010.
[18]
C. Hölscher, T. Tenbrink, and J. M. Wiener. Would you follow your own route description? cognitive strategies in urban route planning. Cognition, 121(2):228--247, 2011.
[19]
F. Jentsch and M. M. Barnes. Human-robot interactions in future military operations. Ashgate Publishing, Ltd., 2012.
[20]
K. Lohmann, M. Kerzel, and C. Habel. Verbally assisted virtual-environment tactile maps: a prototype system. In Proceedings of the Workshop on Spatial Knowledge Acquisition with Limited Information Displays, pages 25--30, 2012.
[21]
J. M. Loomis, R. G. Golledge, and R. L. Klatzky. Navigation system for the blind: Auditory display modes and guidance. Presence: Teleoperators and Virtual Environments, 7(2):193--203, 1998.
[22]
K. Lynch. The image of the city, volume 11. MIT press, 1960.
[23]
W. Miller. Perception of the natural environment: Results from a survey of recreational hikers.
[24]
D. R. Montello and S. M. Freundschuh. Sources of spatial knowledge and their implications for gis: An introduction. Geographical Systems, 2:169--176, 1995.
[25]
A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International journal of computer vision, 42(3):145--175, 2001.
[26]
L. T. Sarjakoski, P. Kettunen, H.-M. Flink, M. Laakso, M. Rönneberg, and T. Sarjakoski. Analysis of verbal route descriptions and landmarks for hiking. Personal and Ubiquitous Computing, 16(8):1001--1011, 2012.
[27]
T. Sarjakoski, P. Kettunen, H.-M. Halkosaari, M. Laakso, M. Rönneberg, H. Stigmar, and T. Sarjakoski. Landmarks and a hiking ontology to support wayfinding in a national park during different seasons. In Cognitive and Linguistic Aspects of Geographic Space, pages 99--119. Springer, 2013.
[28]
E. Sirin, B. Parsia, B. C. Grau, A. Kalyanpur, and Y. Katz. Pellet: A practical owl-dl reasoner. Web Semantics: science, services and agents on the World Wide Web, 5(2):51--53, 2007.
[29]
F. J. Steyvers and A. C. Kooijman. Using route and survey information to generate cognitive maps: differences between normally sighted and visually impaired individuals. Applied cognitive psychology, 23(2):223--235, 2009.
[30]
G. Sun, H. Lin, and R. Li. Measuring the influence of built environment on walking behavior: An accessibility approach. In Geographic Information Science, pages 187--197. Springer, 2012.
[31]
H. A. Taylor and B. Tversky. Spatial mental models derived from survey and route descriptions. Journal of Memory and language, 31(2):261--292, 1992.
[32]
T. Tenbrink, E. Bergmann, and L. Konieczny. Wayfinding and description strategies in an unfamiliar complex building. In Proc. 33rd Annual Conference of the Cognitive Science Society, 2011.
[33]
K. E. Thomas, S. Sripada, and M. L. Noordzij. Atlas. txt: exploring linguistic grounding techniques for communicating spatial information to blind users. Universal access in the information society, 11(1):85--98, 2012.
[34]
M. Vasardani, S. Timpf, S. Winter, and M. Tomko. From descriptions to depictions: A conceptual framework. In Spatial Information Theory, pages 299--319. Springer, 2013.
[35]
D. Wunderlich and R. Reinelt. How to get there from here. Speech, place and action, pages 183--201, 1982.

Cited By

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  • (2024)Automatic translation of human route descriptions into schematic maps for indoor navigationCartography and Geographic Information Science10.1080/15230406.2023.229388151:3(445-461)Online publication date: 22-Jan-2024
  • (2024)Aligning indoor human route descriptions to facilitate the use of crowdsourced indoor navigation systemsSpatial Cognition & Computation10.1080/13875868.2024.231556224:3(145-176)Online publication date: 8-Feb-2024
  • (2024)A machine learning based approach for generating point sketch maps from qualitative directional informationInternational Journal of Geographical Information Science10.1080/13658816.2024.235840538:9(1881-1911)Online publication date: 24-May-2024
  • Show More Cited By

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    cover image ACM Other conferences
    SIGSPACIAL '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
    October 2016
    649 pages
    ISBN:9781450345897
    DOI:10.1145/2996913
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 31 October 2016

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    Author Tags

    1. ontology
    2. route description
    3. sketchmap

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    SIGSPACIAL '16 Paper Acceptance Rate 40 of 216 submissions, 19%;
    Overall Acceptance Rate 220 of 1,116 submissions, 20%

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    Cited By

    View all
    • (2024)Automatic translation of human route descriptions into schematic maps for indoor navigationCartography and Geographic Information Science10.1080/15230406.2023.229388151:3(445-461)Online publication date: 22-Jan-2024
    • (2024)Aligning indoor human route descriptions to facilitate the use of crowdsourced indoor navigation systemsSpatial Cognition & Computation10.1080/13875868.2024.231556224:3(145-176)Online publication date: 8-Feb-2024
    • (2024)A machine learning based approach for generating point sketch maps from qualitative directional informationInternational Journal of Geographical Information Science10.1080/13658816.2024.235840538:9(1881-1911)Online publication date: 24-May-2024
    • (2024)Automatic sketch map creation from labeled planar graphInternational Journal of Geographical Information Science10.1080/13658816.2024.233006438:5(981-1006)Online publication date: 22-Mar-2024
    • (2020)Could spatial features help the matching of textual data?Intelligent Data Analysis10.3233/IDA-19474924:5(1043-1064)Online publication date: 30-Sep-2020

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